AIMC Topic: Time Factors

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Optimization for Service Routes of Pallet Service Center Based on the Pallet Pool Mode.

Computational intelligence and neuroscience
Service routes optimization (SRO) of pallet service center should meet customers' demand firstly and then, through the reasonable method of lines organization, realize the shortest path of vehicle driving. The routes optimization of pallet service ce...

Behavioural plasticity in evolving robots.

Theory in biosciences = Theorie in den Biowissenschaften
In this paper, we show how the development of plastic behaviours, i.e., behaviour displaying a modular organisation characterised by behavioural subunits that are alternated in a context-dependent manner, can enable evolving robots to solve their ada...

Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators.

PloS one
Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for VF-detection are customarily...

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

PloS one
Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multipl...

A single robotic session that guides or increases movement error in survivors post-chronic stroke: which intervention is best to boost the learning of a timing task?

Disability and rehabilitation
PURPOSE: Timing deficits can have a negative impact on the lives of survivors post-chronic stroke. Studies evaluating ways to improve timing post stroke are scarce. The goal of the study was to evaluate the impact of a single session of haptic guidan...

Event-triggered H∞ filter design for delayed neural network with quantization.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with H∞ filter design for a class of neural network systems with event-triggered communication scheme and quantization. Firstly, a new event-triggered communication scheme is introduced to determine whether or not the current ...

Hartmann's procedure vs abdominoperineal resection with intersphincteric dissection in patients with rectal cancer: a randomized multicentre trial (HAPIrect).

BMC surgery
BACKGROUND: The use of Hartmann's procedure in the old and frail and/or in patients with fecal incontinence is increasing, even though some data have reported high postoperative rates of pelvic abscesses. Abdominoperineal excision with intersphincter...

Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning.

Sensors (Basel, Switzerland)
Seedling vigor in tomatoes determines the quality and growth of fruits and total plant productivity. It is well known that the salient effects of environmental stresses appear on the internode length; the length between adjoining main stem node (henc...

Dissipativity analysis of stochastic memristor-based recurrent neural networks with discrete and distributed time-varying delays.

Network (Bristol, England)
In this paper, based on the knowledge of memristor-based recurrent neural networks (MRNNs), the model of the stochastic MRNNs with discrete and distributed delays is established. In real nervous systems and in the implementation of very large-scale i...

On Stabilization of Quantized Sampled-Data Neural-Network-Based Control Systems.

IEEE transactions on cybernetics
This paper investigates the problem of stabilization of sampled-data neural-network-based systems with state quantization. Different with previous works, the communication limitation of state quantization is considered for the first time. More specif...